Grain Identification Of Polarising Images With Level Set Method
We extend the classical active contour to segment two optical polarizing microscope images of a thin section within the same view. The polarizing microscope is a basic tool employed by many geologists to identify minerals, estimate grain size or shape and to obtain modal percentages of minerals in thin sections. Two polarising images are captured with different light phenomenon: under planepolarised light, many mineral grains appear as colorless; under cross-polarised light, mineral grains show varying colors and intensities. Automatic detection of mineral grains within images captured polarized microscope is a difficult task. Instead of segmenting any single image with classical active contour model, a novel energy functional is constructed for locating edges of grains with two polarising images. The corresponding Euler-lagrange Equation is obtained with level set method. The evolving curve stops on the edges of the identified grains. Experimental results of the real thin section images are shown.
grain identification polarising image active contour the level set image segmentation
Bibo Lu Zhonghua Lin Hui Wang
School of Computer Science and Technology Henan Polytechnic University Jiaozuo, China, 454000
国际会议
贵阳
英文
192-195
2011-01-26（万方平台首次上网日期，不代表论文的发表时间）